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Exploratory Data Analysis, Feature Engineering, Machine Learning - Data Mining2 Comments

A survey of correlation analysis methods

May 24, 2021May 24, 2021 Tung.M.Phung

A summary of popular methods to analyze the dependency between variables. Continue reading A survey of correlation analysis methods

Feature Engineering, Machine Learning - Data MiningLeave a comment

Principal Component Analysis fully explained

March 13, 2020December 30, 2020 Tung.M.Phung

This article attempts to make PCA crystal clear to anyone who wishes to understand it thoroughly, step-by-step, in both high and low-level concepts. Continue reading Principal Component Analysis fully explained

Exploratory Data Analysis, Machine Learning - Data MiningLeave a comment

Does Causality imply Correlation?

December 21, 2019July 31, 2020 Tung.M.Phung

I have seen enough threads saying that Correlation does NOT imply Causality. Yes, that is true, but how about the other way around? Continue reading Does Causality imply Correlation?

DataVisualization, Machine Learning - Data MiningLeave a comment

Charts to show relationships between (or among) variables

September 14, 2019July 31, 2020 Tung.M.Phung

This is my 4th blog on a series of data visualization with charts for specific purposes. Continue reading Charts to show relationships between (or among) variables